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Fachrurrozi Rosyadi

Fachrurrozi Rosyadi

AI Data & Language Quality Expert

Indonesia flagPekanbaru, Indonesia
$7.00/hrIntermediateOtherTelusLabelbox

Key Skills

Software

Other
TelusTelus
LabelboxLabelbox
AppenAppen
iMeritiMerit
Internal/Proprietary Tooling

Top Subject Matter

Image/video annotation expert for AI
NLP data labeler for Indonesia & English AI
Prompt Response Writing for Indonesian & English

Top Data Types

TextText
ImageImage
VideoVideo
Computer Code ProgrammingComputer Code Programming

Top Task Types

Question Answering
Text Generation
Diagnosis
Prompt Response Writing SFT
Evaluation Rating
Computer Programming Coding
Classification
Translation Localization
Bounding Box
Data Collection
Segmentation
Mapping
Object Detection
Action Recognition

Freelancer Overview

AI Data & Language Quality Expert with extensive experience in evaluating, validating, and improving AI training data to support reliable machine learning models. Trusted to apply informed judgment in assessing data quality across text, image, and audio modalities in both Indonesian and English, ensuring accuracy, consistency, and contextual integrity. Expertise includes AI data evaluation, natural language processing (NLP), ambiguity and edge-case analysis, and quality assurance, contributing directly to improved model performance and alignment of AI-generated outputs. Experienced in working independently on high-impact tasks while collaborating effectively with global AI teams. Focused on strengthening AI systems through rigorous quality assessment and structured evaluation, with a strong commitment to continuous professional development in AI and data quality domains.

IntermediateMalayEnglishJavaneseIndonesianChinese Mandarin

Labeling Experience

Data Annotator

Internal Proprietary ToolingVideoObject DetectionAction Recognition
Annotated and labeled video data using internal/proprietary tools, performing tasks such as object detection, bounding boxes, tracking, and evaluation/rating, while ensuring high-quality annotations to support AI training and model fine-tuning.

Annotated and labeled video data using internal/proprietary tools, performing tasks such as object detection, bounding boxes, tracking, and evaluation/rating, while ensuring high-quality annotations to support AI training and model fine-tuning.

2025
iMerit

Consultant

ImeritImageBounding Box
Independent Consultant responsible for supporting the development and improvement of AI systems through high-quality data evaluation and annotation. The role involves analyzing, validating, and refining multi-format datasets to ensure accuracy, consistency, and optimal model performance. Key functions include conducting precise annotation for text, image, and multi-modal data, reviewing AI model outputs for guideline alignment, performing thorough quality checks to maintain data integrity, and providing structured feedback to enhance AI reasoning, accuracy, and safety.

Independent Consultant responsible for supporting the development and improvement of AI systems through high-quality data evaluation and annotation. The role involves analyzing, validating, and refining multi-format datasets to ensure accuracy, consistency, and optimal model performance. Key functions include conducting precise annotation for text, image, and multi-modal data, reviewing AI model outputs for guideline alignment, performing thorough quality checks to maintain data integrity, and providing structured feedback to enhance AI reasoning, accuracy, and safety.

2025
Appen

Whatcom - Evaluate Search Engine Results

AppenImageSegmentationClassification
Project Whatcom is designed to improve AI performance in real-world scenarios by collecting human judgments on various Human Intelligence Tasks (HITs). Contributors evaluate search engine results, classify documents, check sentiment, annotate images and videos, and perform light product testing. The feedback helps refine AI models, ensuring smarter, faster, and more accurate responses in practical applications.

Project Whatcom is designed to improve AI performance in real-world scenarios by collecting human judgments on various Human Intelligence Tasks (HITs). Contributors evaluate search engine results, classify documents, check sentiment, annotate images and videos, and perform light product testing. The feedback helps refine AI models, ensuring smarter, faster, and more accurate responses in practical applications.

2025
Appen

A11403 OCR recruitment ticket

AppenImageBounding BoxClassification
The project involves framing and transcribing Indonesian text found in images related to construction and maintenance activities. Contributors are required to accurately identify text regions and transcribe the content, ensuring high-quality, readable, and consistent data. This annotated dataset will support automated systems in extracting and processing textual information from images for operational and documentation purposes.

The project involves framing and transcribing Indonesian text found in images related to construction and maintenance activities. Contributors are required to accurately identify text regions and transcribe the content, ensuring high-quality, readable, and consistent data. This annotated dataset will support automated systems in extracting and processing textual information from images for operational and documentation purposes.

2025 - 2025
Appen

Karimata - Translation

AppenTextTranslation LocalizationEvaluation Rating
The Karimata Project focuses on evaluating machine-translated text from online conversations and social media messages. Contributors review bilingual texts to assess the accuracy, fluency, and overall quality of translations, ensuring they reflect the nuances of human communication. This project supports the development of more reliable machine translation systems by curating high-quality datasets through careful evaluation and annotation of translated content.

The Karimata Project focuses on evaluating machine-translated text from online conversations and social media messages. Contributors review bilingual texts to assess the accuracy, fluency, and overall quality of translations, ensuring they reflect the nuances of human communication. This project supports the development of more reliable machine translation systems by curating high-quality datasets through careful evaluation and annotation of translated content.

2025 - 2025

Education

A

AMPTA Yogyakarta Tourism College

Bachelor of Travel and Tourism Business, Travel and Tourism Business

Bachelor of Travel and Tourism Business
2019 - 2023
A

AMPTA Tourism College

Bachelor of Applied Tourism, Tourism

Bachelor of Applied Tourism
2019 - 2023

Work History

I

Independent

Independent Researcher

KAB. KAMPAR
2024 - 2025
A

Ambarrukmo

Research Assistant

Yogyakarta
2023 - 2023